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b'More and more enterprises and on-prem applications are moving to the Cloud. Therefore, flexibility, agility, time-to-market, and cost effectiveness need to be created to address a lack of visibility and control.\\nToday, we\\u2019re talking to Archana Kesavan, senior product marketing manager at ThousandEyes. The company offers a network intelligence platform that provides visibility to Internet-centric, SaaS, or Cloud-based enterprise environments. Our discussion focuses on ThousandEyes\\u2019 2018 Public Cloud Performance Benchmark Report.\\nSome of the highlights of the show include:\\n\\nPurpose of Report: Reveals network performance and architecture connectivity for Amazon Web Services (AWS), Google Cloud (GCP), and Microsoft Azure\\nReport gathered more than 160 million data points by leveraging ThousandEyes\\u2019 global fleet of agents that simulate users\\u2019 application traffic\\nData collected during four-week period was ran through ThousandEyes\\u2019 global inference engine to identify trends and detect anomalies\\nInternet X factor when calibrating network performance of public Cloud providers; best-effort medium that has no predictability and is vulnerable to attacks\\nAWS\\u2019 performance predictability was lower than GCP Cloud and Azure leveraged their own backbones to move user traffic\\nCertain regions, such as Asia, were handled better by GCP and Azure than AWS\\nCustomers should understand value of long-distance Internet latency when selecting a Cloud provider\\nDetermine what the report\\u2019s data means for your business; conduct customized measurements for your environment\\xa0\\xa0\\n\\nLinks:\\n\\nThousandEyes\\nThousandEyes on Twitter\\nThousandEyes\\u2019 Blog\\n2018 Public Cloud Performance Benchmark Report\\nAmazon Web Services (AWS)\\nGoogle Cloud\\nMicrosoft Azure\\nAWS Global Accelerator for Availability and Performance\\nre:Invent\\nDigitalOcean'